Series.dt.is_leap_year Logical indicating if the date belongs to a leap year

Panel.groupby(function, axis='major') [source] Group data on given axis, returning GroupBy object Parameters: function : callable Mapping function for chosen access axis : {?major?, ?minor?, ?items?}, default ?major? Returns: grouped : PanelGroupBy

Series.plot.density(**kwds) [source] Kernel Density Estimate plot New in version 0.17.0. Parameters: **kwds : optional Keyword arguments to pass on to pandas.Series.plot(). Returns: axes : matplotlib.AxesSubplot or np.array of them

MultiIndex.order(return_indexer=False, ascending=True) [source] Return sorted copy of Index DEPRECATED: use Index.sort_values()

Panel4D.keys() [source] Get the ?info axis? (see Indexing for more) This is index for Series, columns for DataFrame and major_axis for Panel.

Series.mode() [source] Returns the mode(s) of the dataset. Empty if nothing occurs at least 2 times. Always returns Series even if only one value. Parameters: sort : bool, default True If True, will lexicographically sort values, if False skips sorting. Result ordering when sort=False is not defined. Returns: modes : Series (sorted)

Panel4D.swapaxes(axis1, axis2, copy=True) [source] Interchange axes and swap values axes appropriately Returns: y : same as input

TimedeltaIndex.size return the number of elements in the underlying data

Series.div(other, level=None, fill_value=None, axis=0) [source] Floating division of series and other, element-wise (binary operator truediv). Equivalent to series / other, but with support to substitute a fill_value for missing data in one of the inputs. Parameters: other: Series or scalar value fill_value : None or float value, default None (NaN) Fill missing (NaN) values with this value. If both Series are missing, the result will be missing level : int or name Broadcast across a lev

Panel.ne(other, axis=None) [source] Wrapper for comparison method ne